1 – 250 of 281
- show: 250
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
-
Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
-
Mark
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
(
- Bach. Degree
-
Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
2024) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
(
- Bach. Degree
-
Mark
Multivariate time series classification in time-sensitive environments using deep learning
(
- Master (Two yrs)
-
Mark
Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
(
- Master (Two yrs)
-
Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
(
- Master (Two yrs)
- 2023
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
-
Mark
Modeling PFAS Transport in Groundwater - Exploring current approaches and evaluating parameter importance
(
- Prof. qual. >4 yrs
-
Mark
Predicting Protein Stability with Machine Learning
(
- Prof. qual. >4 yrs
-
Mark
Estimation of surface soil moisture from Sentinel-1 Synthetic Aperture Radar imagery using machine learning method
(
- Master (Two yrs)
-
Mark
Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study
(
- Master (Two yrs)
-
Mark
Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
(
- Master (Two yrs)
-
Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)
-
Mark
Predicting the Movement of the S&P 500 Index using Machine Learning
(
- Master (One yr)
-
Mark
Tether-free Driveline Control for Water Propulsion Devices
(
- Master (Two yrs)
-
Mark
Using Social Media and Personality Predictions to Anticipate Startup Success
(
- Master (Two yrs)
-
Mark
Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
(
- Master (Two yrs)
-
Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
(
- Master (Two yrs)
-
Mark
Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller
(
- Bach. Degree
-
Mark
The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia
(
- Master (Two yrs)
-
Mark
Machine Learning-based Lean Six Sigma Process
(
- Bach. Degree
-
Mark
An Artificial Neural Network Approach to Algorithmic Trading
(
- Master (Two yrs)
-
Mark
Multi-scale Bark Beetle Predictions Using Machine Learning
2023) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Diffusion-based Vocoding for Real-Time Text-To-Speech
(
- Master (Two yrs)
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- Master (Two yrs)
-
Mark
Smart water monitoring for better water quality - An affordable and sustainable way to predict unexpected environmental changes of water bodies
2023) In Master Thesis Series in Environmental Studies and Sustainability Science MESM02 20231(
LUCSUS (Lund University Centre for Sustainability Studies)- Master (Two yrs)
-
Mark
An Open-Source Autoencoder Compression Tool for High Energy Physics
(
- Master (One yr)
-
Mark
Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors
(
- Master (Two yrs)
-
Mark
Strategic Communication of Trustworthiness in Autonomous Systems, Machine Learning, & AI
(
- Master (Two yrs)
-
Mark
Classifying High-Growth Manufacturing Firms on the Swedish Stock Market:A Comparative Study Between the Logistic Regression, Support Vector Machine and Artificial Neural Network
(
- Master (Two yrs)
-
Mark
Can Machine Learning improve inflation forecasting?
(
- Master (One yr)
-
Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
(
- Master (Two yrs)
-
Mark
Privacy Preserving Biometric Multi-factor Authentication
(
- Master (Two yrs)
-
Mark
Predicting Tennis Match Results Using Classification Methods
(
- Master (One yr)
-
Mark
Human Analysts’ Perceptions towards AI-based Solutions in Cyber Security: A Qualitative Study
(
- Bach. Degree
-
Mark
Nowcasting U.S. inflation using mixed frequency real-time data
(
- Master (Two yrs)
-
Mark
Particle Detection in Bone Marrow Using CNNs and Transformer Networks
(
- Master (Two yrs)
-
Mark
A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
2023) FYTM05 20231(
Department of Physics
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Individual revenue forecasting in the banking sector
(
- Master (One yr)
-
Mark
Control Aid Implementation -Modelling and simulation of triple extruder-
(
- Master (Two yrs)
-
Mark
Exploring AI Adoption in Entrepreneurial Content Marketing Strategies of European Companies
(
- Master (One yr)
-
Mark
Modelling Airbnb Prices in the Maltese Islands
(
- Master (One yr)
-
Mark
Machine learning based Topology Optimization
(
- Prof. qual. >4 yrs
-
Mark
Combined use of Sentinel-2 and Sentinel-1 data for wheat crop yield forecasting with machine learning algorithms
(
- Master (Two yrs)
-
Mark
Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
(
- Master (One yr)
-
Mark
MISK-Moves
(
- Bach. Degree
-
Mark
Exploration of Alternative Image Representation Using Signed Distance Functions
(
- Master (Two yrs)
-
Mark
AI-sammanfattade klagomål på hälso- och sjukvård
(
- Bach. Degree
-
Mark
Wind power forecasting using random forests
(
- Master (Two yrs)
-
Mark
Machine Learning in Risk Management Applications
(
- Master (One yr)
-
Mark
Using forest reflectance modelling to estimate albedo for narrow-view satellites
(
- Master (Two yrs)
-
Mark
Beam selection using Machine Learning in Massive MIMO systems
(
- Master (Two yrs)
- 2022
-
Mark
Autoencoder Compression in High Energy Physics
(
- Master (Two yrs)
-
Mark
Tuning of the ESS Drift Tube Linac using Machine Learning
(
- Master (One yr)
-
Mark
Multimodal Speech Emotion Recognition for Swedish Customer Service Conversations
(
- Master (Two yrs)
-
Mark
Inflation forecasting with Random Forest
(
- Bach. Degree
-
Mark
Augmentation for Generalization
(
- Master (Two yrs)
-
Mark
Investigating Machine Learning for verification of AMBA APB protocol.
(
- Master (Two yrs)
-
Mark
Prediction of appropriate L2 regularization strengths through Bayesian formalism
2022) FYTK02 20221(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
(
- Master (Two yrs)
-
Mark
Research of Chinese Stock Market Based on Financial Time Series and Deep Machine Learning
(
- Master (One yr)
-
Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(
- Master (Two yrs)
-
Mark
Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems
(
- Master (Two yrs)
-
Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(
- Master (Two yrs)
-
Mark
Predicting the Direction of Movement of Abnormal Returns using Earnings Conference Calls and FinBERT
(
- Master (One yr)
-
Mark
Modeling code quality using machine intelligence
(
- Master (Two yrs)
-
Mark
Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
(
- Master (Two yrs)
-
Mark
Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
(
- Master (Two yrs)
-
Mark
Estimating the risk of insurance fraud based on tonal analysis
(
- Master (Two yrs)
-
Mark
Autoencoder outlier detection during the Covid-19 vaccination campaign
2022) FYTM03 20221(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Impact of model architecture and data distribution on self-supervised federated learning
(
- Master (Two yrs)
-
Mark
Biologically informed neural network for subphenotype classification in septic AKI
(
- Master (Two yrs)
-
Mark
An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance
(
- Master (Two yrs)
-
Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
(
- Master (Two yrs)
-
Mark
Volatility Timing using Machine Learning - An Application to a Signal Based Portfolio
(
- Master (One yr)
-
Mark
Forecasting energy consumption in Sweden
(
- Bach. Degree
-
Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
-
Mark
Machine learning framework for maxillofacial preoperative planning
(
- Bach. Degree
-
Mark
Predicting preterm birth with machine learning methods
(
- Master (One yr)
-
Mark
Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
(
- Master (Two yrs)
-
Mark
Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
(
- Master (One yr)
-
Mark
Decarbonisation potential of multi-family Swedish Homes
2022) AEBM01 20221(
Division of Energy and Building Design
Department of Architecture and Built Environment- Master (Two yrs)
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
-
Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Prognostisering av Restaurangförsäljning med Linjär Regression och Maskininlärning
(
- Master (Two yrs)
-
Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
-
Mark
Aerial View Image-Goal Localization with Reinforcement Learning
(
- Master (Two yrs)
-
Mark
Automatic text placement on maps using deep learning keypoint detection models
(
- Master (Two yrs)
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
-
Mark
Optimizing L2-regularization for Binary Classification Tasks
(
- Bach. Degree
-
Mark
Transforming Clinical Decision Support with AI
(
- Master (One yr)
-
Mark
Gunshot Detection from Audio Streams in Portable Devices
(
- Master (Two yrs)
-
Mark
Assessment of hip deformities during childhood: a combined approach of Machine Learning and Finite Element Analysis
(
- Master (Two yrs)
-
Mark
Predicting Acute Kidney Injury In Sepsis Patients: A Machine Learning Approach
(
- Master (Two yrs)
-
Mark
Observation Based Modeling of Liquid Slosh in Drop Tests
(
- Master (Two yrs)
-
Mark
Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment
(
- Master (Two yrs)
-
Mark
Federated Learning in Autonomous Vehicles Setting- GDPR perspective
(
- Master (Two yrs)
-
Mark
Predict Saving Behavior - Artificial Neural Network & Machine Learning
(
- Master (Two yrs)
-
Mark
A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
(
- Master (Two yrs)
- 2021
-
Mark
Abnormality detection in diagnostics data from network cameras
(
- Master (Two yrs)
-
Mark
A Study on Efficient Memory Utilization in Machine Learning and Memory Intensive Systems
(
- Master (Two yrs)
-
Mark
Applying machine learning approaches to model travel choice between micro-mobility services
(
- Master (Two yrs)
-
Mark
Ready or Not: Exploring Machine Learning Readiness in the Supplier Selection Process
(
- Master (Two yrs)
-
Mark
Reducing Inter-cell Interference Using Machine Learning
(
- Master (Two yrs)
-
Mark
Is Automation the Future of Machine Learning? A Qualitative Study Exploring the Influential Factors for Adoption of Automated Machine Learning in an Organizational Context
(
- Master (One yr)
-
Mark
Generalized automatic classification of cancer cell migratory patterns
(
- Master (Two yrs)
-
Mark
An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring
(
- Master (Two yrs)
-
Mark
Designing and developing an application for online hate speech detection on social media
(
- Master (Two yrs)
-
Mark
Anomaly detection in 5G beam propagation
(
- Master (Two yrs)
-
Mark
SMARTA BIBLIOTEK[ARIER] : samspelet mellan IMMS och bibliotekarier på folkbiblioteken i Köpenhamn
(
- Master (Two yrs)
-
Mark
Time Series Active Learning using Automated Feature Extraction
(
- Master (Two yrs)
-
Mark
AI-implementeringar i svenska verksamheter
(
- Bach. Degree
-
Mark
Detektering av föroreningar i dagvattensystemet
(
- Bach. Degree
-
Mark
Stock Market Reactions to Firms’ First Publication of Sustainability Reports: Evidence from multiple industries in Nordic countries, the United States, and China
(
- Master (Two yrs)
-
Mark
Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
(
- Master (Two yrs)
-
Mark
Investigation of Autoencoders for Jet Images in Particle Physics
(
- Master (Two yrs)
-
Mark
Big Data and Machine Learning - Strategic Decisions In a VUCA World
(
- Misc.
-
Mark
Adaptive Beam Management in 5G-NR: A Machine Learning Perspective
(
- Master (Two yrs)
-
Mark
Combined Spatial Filtering and Time-Frequency Analysis in Motor Imagery BCI
(
- Master (Two yrs)
-
Mark
Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics
(
- Master (Two yrs)
-
Mark
Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG
(
- Master (Two yrs)
-
Mark
Graffiti Detection using a variable temperature MOx sensor and Machine Learning
(
- Master (Two yrs)
-
Mark
Visual assessments of Postural Orientation Errors using ensembles of Deep Neural Networks
(
- Master (Two yrs)
-
Mark
Identifying obstacles and key measurements of roof surfaces using a digital surface model and an orthomosaic
(
- Master (Two yrs)
-
Mark
Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision
(
- Master (Two yrs)
-
Mark
Increasing Retention in Insurtechs Through Churn Prediction
(
- Master (Two yrs)
-
Mark
Index prediction on the Swedish stock market using natural language processing methods on Swedish news
(
- Master (Two yrs)
-
Mark
Speaker Recognition using Biology-Inspired Feature Extraction
(
- Master (Two yrs)
-
Mark
Using Artificial Neural Networks to optimize scattering probabilities
(
- Bach. Degree
-
Mark
Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation
(
- Master (Two yrs)
-
Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
(
- Master (Two yrs)
-
Mark
Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
(
- Master (Two yrs)
-
Mark
Industry 4.0 as an Enabler of Circular Business Models: Within the clothing industry
(
- Bach. Degree
-
Mark
Indoor Positioning and Machine Learning Algorithms
(
- Master (Two yrs)
-
Mark
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(
- Master (Two yrs)
-
Mark
Natural Language Processing for Patient Data in Clinical Decision Support Systems
(
- Master (Two yrs)
-
Mark
Intersection between the Right to Data Portability within the GDPR and the Sui Generis Database Right - Do the two rights interfere with the free flow of data generated from connected devices?
(
- Master (One yr)
-
Mark
Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data
(
- Master (Two yrs)
-
Mark
Ghost target classification using scene models in radar
(
- Master (Two yrs)
-
Mark
A System for Affective Touch in Humanoid and Social Robotics
(
- Master (Two yrs)
- 2020
-
Mark
Efficient Discovery Of Binary Stars
2020) In Lund Observatory Examensarbeten ASTM31 20201(
Lund Observatory - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Live Commenting of Football Games Using Machine Learning and Natural Language Generation
(
- Master (Two yrs)
-
Mark
Analysis of stellar spectra with machine learning
2020) In Lund Observatory Examensarbeten ASTM31 20201(
Lund Observatory - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
When Synthetic Actors Suggest: Interaction Order of Recommender Systems on Social Media Platforms
(
- Master (Two yrs)
-
Mark
Machine learning methods on Swedish geological data
(
- Master (Two yrs)
-
Mark
Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing
2020) In Master Thesis in Geographical Information Science GISM01 20202(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Anonymisation of Image Data Using Deep Learning
(
- Master (Two yrs)
-
Mark
Using Neural Networks to Probe the Parameter Space of a 3HDM with a U(1) times Z2 Flavor Symmetry
(
- Master (Two yrs)
-
Mark
Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)
(
- Master (Two yrs)
-
Mark
Real-world low-light image enhancement using Variational Autoencoders
(
- Master (Two yrs)
-
Mark
Principal Component Analysis for STEM-EDS images: Optimal collection parameters
(
- Bach. Degree
-
Mark
JPEG-deblocking of Blood Cell Images using Deep Learning
(
- Master (Two yrs)
-
Mark
Machine Learning Technique for Beam Management in 5G NR RAN at mmWave Frequencies
(
- Master (Two yrs)
-
Mark
Deep Autoencoders for Compression in High Energy Physics
(
- Master (Two yrs)
-
Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
(
- Master (Two yrs)
-
Mark
A Novel Perceptual Metric in Deep Learning
(
- Master (Two yrs)
-
Mark
Reduced Order Modelling using Dynamic Mode Decomposition and Koopman Spectral Analysis with Deep Learning
(
- Master (Two yrs)
-
Mark
Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
MobilePose: Real-Time 3D Hand Pose Estimation from a Single RGB Image
(
- Master (Two yrs)
-
Mark
Digitalization and Technostress: An Exploratory Data Analysis of the Norwegian Workforce
(
- Master (Two yrs)
-
Mark
Reaching for the limit of stability
(
- Master (Two yrs)
-
Mark
Inference and Prediction of Cryptocurrency Market Returns
(
- Master (One yr)
-
Mark
Machine Learning for the Prevention of Injuries in the Construction Industry
(
- Master (Two yrs)
-
Mark
Implementation of a Deep Learning Inference Accelerator on the FPGA.
(
- Master (Two yrs)
-
Mark
Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps
(
- Master (Two yrs)
-
Mark
Machine learning in the design phase of the construction
(
- Master (Two yrs)
-
Mark
The Biology of M&A
(
- Master (One yr)
-
Mark
Deepfake: An Emerging New Media Object in the Age of Online Content
(
- Master (Two yrs)
-
Mark
Investigating the Use of Machine Learning to Detect Unilateral Arm Weakness
(
- Master (Two yrs)
-
Mark
Using Opaque AI for Smart Grids
(
- Bach. Degree
-
Mark
Cost-Optimized Event Detection in Football Video
(
- Master (Two yrs)
-
Mark
Validation Based Cascade-Correlation Training of Artificial Neural Networks
(
- Bach. Degree
-
Mark
Semi-Supervised Medical Image Segmentation with Equivariance Regularization
(
- Master (Two yrs)
-
Mark
Using Natural Language Processing to Identify Similar Patent Documents
(
- Master (Two yrs)
-
Mark
Improving High-Risk Consumer Credit Scoring with Financial Transaction Data
(
- Master (Two yrs)
-
Mark
Machine Learning Enabled Nonlinear Phase Noise Mitigation for Coherent Optical Systems
(
- Master (Two yrs)
- 2019
-
Mark
Short Range Gesture Sensing and Classification Using Pulsed Millimeter-Wave Radar and Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Passive Entry to the Car Using Machine Learning - Improving the User Experience
(
- Master (Two yrs)
-
Mark
Deblurring of Cell Images Using Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Text mining into customers’ minds
(
- Bach. Degree
-
Mark
Machine Learning Based Modulation and Coding Scheme Selection
(
- Master (Two yrs)
-
Mark
Demand forecasting using Artificial Neural Network and demand pattern recognition at Sony Mobile Communication
(
- Master (Two yrs)
-
Mark
LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
(
- Master (Two yrs)
-
Mark
‘Right not to be subject’ to automated decision-making and profiling - solving the riddle of Article 22 GDPR
(
- Master (Two yrs)
-
Mark
Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
(
- Master (Two yrs)
-
Mark
Machine Learning Based Video Editing Toolbox for Automatic Summary of Medical Videos
(
- Master (Two yrs)
-
Mark
Surface Classification with Millimeter-Wave Radar for Constant Velocity Devices using Temporal Features and Machine Learning
(
- Master (Two yrs)
-
Mark
Future Frame Prediction with Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Web interface for machine learning as decision making support
(
- Master (Two yrs)
-
Mark
Transfer Learning in Autonomous Vehicles using Convolutional Networks
(
- Master (Two yrs)
-
Mark
Predicting Mechanical Properties of Polymer Films after Extrusion Coating using Supervised Machine Learning Algorithms
(
- Master (Two yrs)
-
Mark
License Plate Detection Utilizing Synthetic Data from Superimposition
(
- Master (Two yrs)
-
Mark
Signal and background discrimination for two-electron events in LDMX using a Boosted Decision Tree
(
- Master (Two yrs)
-
Mark
A study of classification methods to identify sound signals of a washing machine
2019) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Evaluation of Parking Space Detection From Aerial Imagery Using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Relevance in the eye of the beholder
(
- Master (Two yrs)
-
Mark
Classification of GPU rendering errors with Artificial Neural Networks
(
- Master (Two yrs)
-
Mark
Twitter bot detection & categorization - a comparative study of machine learning methods
(
- Master (One yr)
-
Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
(
- Master (Two yrs)
-
Mark
Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly
(
- Master (Two yrs)
-
Mark
User Equipment Characterization using Machine Learning
(
- Master (Two yrs)
-
Mark
Latent Space Growing of Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
(
- Master (Two yrs)
-
Mark
Potentialen med smartare RPA-robotar: Innebär smartare RPA-robotar till följd av introduceringen av Machine Learning att dess roll och uppgifter i verksamhetsprocesser förändras.
(
- Bach. Degree
-
Mark
Will You Stay or Will You Go? Churn Prediction for an App-Delivered International Calling Service
(
- Master (Two yrs)
-
Mark
High-risk Consumer Credit Scoring using Machine Learning Classification
(
- Master (Two yrs)
-
Mark
Machine Learning Technique for Uplink Link Adaptation in 5G NR RAN at Millimeter Wave Frequencies
(
- Master (Two yrs)
- 2018
-
Mark
Predicting anastomosis leakage and 90-day mortality for patients undergoing oesophagectomy with artificial neural networks
(
- Master (Two yrs)
-
Mark
Steering Angle Prediction by a Deep Neural Network and its Domain Adaption Ability
(
- Master (Two yrs)
-
Mark
Eco-driving assistant application
(
- Master (Two yrs)
-
Mark
Neural Networks and the Stock Market
(
- Bach. Degree
-
Mark
Estimating Median Visiting Times using Re-identification
(
- Master (Two yrs)
-
Mark
Recognizing Spontaneous Facial Expressions using Deep Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
An exploration of the current state-of-the-art in automatic music transcription - with proposed improvements using machine learning
(
- Master (Two yrs)
-
Mark
Architecture and Technology in Contested Terrain: An Application of Machine Learning in Interactive Spaces
(
- Master (Two yrs)
-
Mark
Förstärkt kreativitet och innovationsförmåga: effekter av artificiell intelligens inom arkitektur och stadsplanering
(
- Master (Two yrs)
-
Mark
Deep Reinforcement Learning in Real-time Bidding
2018) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Categorizing Software Defects using Machine Learning
(
- Prof. qual. >4 yrs
-
Mark
Audio representation for environmental sound classification using convolutional neural networks
(
- Master (Two yrs)
-
Mark
Motion Event Recognition Using User Feedback
(
- Master (Two yrs)
-
Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
(
- Prof. qual. >4 yrs
-
Mark
Multiclass Cross-selling Model for Savings and Investments Using Gradient Boosting
(
- Master (Two yrs)
-
Mark
Monitoring of a Veneer Lathe Knife by the use of an Industrial Internet of Things- Platform
(
- Prof. qual. >4 yrs
-
Mark
sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control
(
- Master (Two yrs)
-
Mark
Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
(
- Master (Two yrs)
-
Mark
Reinforcement learning for planning of a simulatedproduction line
(
- Master (Two yrs)
-
Mark
Prediction of Conversion Rates in Online Marketing - A study of the application of logistic regression for predicting conversion rates in online marketing.
(
- Master (Two yrs)
-
Mark
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(
- Master (Two yrs)
-
Mark
Change of Purpose - The effects of the Purpose Limitation Principle in the General Data Protection Regulation on Big Data Profiling
(
- Prof. qual. >4 yrs
-
Mark
Using Self-Organizing Maps to Identify Operational Risk
(
- Master (Two yrs)
-
Mark
Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers
2018) FYTM04 20181(
Department of Astronomy and Theoretical Physics - Undergoing reorganization
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Improving the OpenStreetMap Data Set using Deep Learning
(
- Prof. qual. >4 yrs
-
Mark
Insider Threat detection using Isolation Forest
(
- Master (Two yrs)
-
Mark
Machine Learning as a Data Driven Approach to Automate Multivariate Matching Methods
(
- Master (Two yrs)
-
Mark
How 140 Characters can be related to the Stock Market Movements: Sentiment Analysis of Twitter
(
- Master (One yr)
-
Mark
Exploring the technology of machine learning to improve the demand forecasting
(
- Master (Two yrs)
-
Mark
FX Trading Using Gaussian Processes
(
- Master (Two yrs)
-
Mark
Vehicle Counting using Video Metadata
(
- Prof. qual. >4 yrs
-
Mark
Myocardial Segmentation in MR images using fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
(
- Master (Two yrs)
-
Mark
Insect Event Extraction in LIDAR Images using Image Analysis and Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
(
- Master (Two yrs)
-
Mark
Search for High-Mass Dijet Resonances Decaying into Top Quark Pairs using Machine Learning Techniques in the ATLAS Experiment
(
- Master (Two yrs)
-
Mark
Inflated Multinomial Matching for Anchor-Free Object Detection
(
- Master (Two yrs)
- 2017
-
Mark
Self learning pattern detection and deviation indication
(
- Prof. qual. >4 yrs
-
Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
(
- Master (Two yrs)